Radim Bürget

3.6k total citations
139 papers, 1.8k citations indexed

About

Radim Bürget is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Radim Bürget has authored 139 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 34 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Artificial Intelligence. Recurrent topics in Radim Bürget's work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (14 papers) and Glaucoma and retinal disorders (12 papers). Radim Bürget is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (14 papers) and Glaucoma and retinal disorders (12 papers). Radim Bürget collaborates with scholars based in Czechia, India and Finland. Radim Bürget's co-authors include Malay Kishore Dutta, Václav Uher, Kamil Říha, Anushikha Singh, Parthasarathi Mangipudi, Justyna Skibińska, Nirvana Popescu, Asma Channa, Rakesh Chandra Joshi and Carlos M. Travieso and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Radim Bürget

131 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Radim Bürget Czechia 22 557 554 443 280 224 139 1.8k
Bin Sheng China 24 611 1.1× 1.0k 1.9× 348 0.8× 275 1.0× 142 0.6× 114 2.1k
Muhammad Sharif Pakistan 32 874 1.6× 928 1.7× 947 2.1× 232 0.8× 227 1.0× 44 2.6k
Steven Lawrence Fernandes India 31 895 1.6× 1.8k 3.3× 1.2k 2.6× 141 0.5× 287 1.3× 88 3.5k
Norah Saleh Alghamdi Saudi Arabia 21 363 0.7× 236 0.4× 438 1.0× 92 0.3× 130 0.6× 106 1.3k
Fatma Taher United Arab Emirates 21 483 0.9× 297 0.5× 464 1.0× 45 0.2× 111 0.5× 110 1.3k
Jamal Hussain Shah Pakistan 26 347 0.6× 782 1.4× 558 1.3× 37 0.1× 156 0.7× 75 2.2k
Hanung Adi Nugroho Indonesia 21 641 1.2× 616 1.1× 475 1.1× 247 0.9× 310 1.4× 287 2.0k
Hoshang Kolivand United Kingdom 22 328 0.6× 789 1.4× 634 1.4× 47 0.2× 172 0.8× 128 2.0k
Abdullah-Al Nahid Bangladesh 23 667 1.2× 521 0.9× 973 2.2× 57 0.2× 136 0.6× 85 2.2k
Ali Javed Pakistan 28 351 0.6× 1.2k 2.2× 771 1.7× 142 0.5× 170 0.8× 122 2.6k

Countries citing papers authored by Radim Bürget

Since Specialization
Citations

This map shows the geographic impact of Radim Bürget's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radim Bürget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radim Bürget more than expected).

Fields of papers citing papers by Radim Bürget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radim Bürget. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radim Bürget. The network helps show where Radim Bürget may publish in the future.

Co-authorship network of co-authors of Radim Bürget

This figure shows the co-authorship network connecting the top 25 collaborators of Radim Bürget. A scholar is included among the top collaborators of Radim Bürget based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Radim Bürget. Radim Bürget is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bürget, Radim, et al.. (2024). xU-NetFullSharp: The Novel Deep Learning Architecture for Chest X-ray Bone Shadow Suppression. Biomedical Signal Processing and Control. 100. 106983–106983. 1 indexed citations
2.
Gupta, Rinki, et al.. (2024). DeepRespNet: A deep neural network for classification of respiratory sounds. Biomedical Signal Processing and Control. 93. 106191–106191. 6 indexed citations
3.
Genzor, Samuel, et al.. (2024). The effectiveness of glucocorticoid treatment in post-COVID-19 pulmonary involvement. SHILAP Revista de lepidopterología. 16(1). 2–2. 3 indexed citations
4.
Joshi, Rakesh Chandra, Nitin Singh, Anuj Kumar Sharma, Radim Bürget, & Malay Kishore Dutta. (2024). AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People. IEEE Transactions on Human-Machine Systems. 54(3). 325–336. 8 indexed citations
5.
Joshi, Rakesh Chandra, et al.. (2024). Biomarker profiling and integrating heterogeneous models for enhanced multi-grade breast cancer prognostication. Computer Methods and Programs in Biomedicine. 255. 108349–108349. 4 indexed citations
6.
Genzor, Samuel, et al.. (2023). Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19. Diagnostics. 13(10). 1755–1755. 5 indexed citations
7.
Bürget, Radim, et al.. (2022). A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images. Computer Methods and Programs in Biomedicine. 224. 106996–106996. 25 indexed citations
8.
Dutta, Malay Kishore, et al.. (2022). Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal. Computer Methods and Programs in Biomedicine. 219. 106727–106727. 21 indexed citations
9.
Maurya, Ritesh, Vinay K. Pathak, Radim Bürget, & Malay Kishore Dutta. (2021). Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach. Computers in Biology and Medicine. 137. 104862–104862. 13 indexed citations
10.
Joshi, Rakesh Chandra, Saumya Yadav, Vinay Kumar Pathak, et al.. (2021). A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images. Journal of Applied Biomedicine. 41(1). 239–254. 48 indexed citations
11.
Bürget, Radim, et al.. (2021). SLINet: Dysphasia detection in children using deep neural network. Biomedical Signal Processing and Control. 68. 102798–102798. 11 indexed citations
12.
Skibińska, Justyna, Radim Bürget, Asma Channa, Nirvana Popescu, & Yevgeni Koucheryavy. (2021). COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques. IEEE Access. 9. 119476–119491. 8 indexed citations
13.
Bürget, Radim, et al.. (2021). 1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals. Biomedical Signal Processing and Control. 71. 102794–102794. 22 indexed citations
14.
Joshi, Rakesh Chandra, et al.. (2021). Ensemble based machine learning approach for prediction of glioma and multi-grade classification. Computers in Biology and Medicine. 137. 104829–104829. 21 indexed citations
15.
Joshi, Rakesh Chandra, et al.. (2021). Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach. Computers in Biology and Medicine. 134. 104559–104559. 25 indexed citations
16.
Mašek, Pavel, Martin Štůsek, Ekaterina Svertoka, et al.. (2021). Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor. Data. 6(6). 62–62. 13 indexed citations
17.
Dutta, Malay Kishore, et al.. (2020). Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network. Computer Methods and Programs in Biomedicine. 197. 105750–105750. 71 indexed citations
18.
Singh, Anushikha, Malay Kishore Dutta, Parthasarathi Mangipudi, Václav Uher, & Radim Bürget. (2015). Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image. Computer Methods and Programs in Biomedicine. 124. 108–120. 159 indexed citations
19.
Komosný, Dan, et al.. (2008). Hierarchical feedback aggregation in IPTV. Annual Conference on Computers. 852–856. 1 indexed citations
20.
Komosný, Dan, et al.. (2008). Scalability Issues with the Hierarchical Feedback Aggregation for Large-Scale IPTV Systems.. 15–26. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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